Building Computational Models to Predict Survival Rate of Heart Failure Patients with COVID-19

The novel coronavirus (COVID-19, or SARS-CoV-2) has caused an ongoing global pandemic and become one of the deadliest pandemics in human history. From previous coronavirus and influenza epidemics, multiple studies suggest that viral infections can exacerbate a preexisting heart failure. Some recent studies have shown evidence that COVID-19 has indirectly caused a significant increase in deaths from heart disease. In the United States, about 6.2 million adults have heart failure, and approximately 550,000 new cases are diagnosed each year. It is important to study the possible influences of COVID-19 on heart failure patients and predict the survival rate in order to help doctors make treatment decisions. We construct mathematical and statistical models and use some early symptoms to predict the one-year survival rate in COVID-19 patients with preexisting heart failure.